Prediction of thirty-day morbidity and mortality after laparoscopic sleeve gastrectomy: data from an artificial neural network.

Journal: Surgical endoscopy
Published Date: Aug 1, 2020

Abstract

BACKGROUND: Multiple patient factors may convey increased risk of 30-day morbidity and mortality after laparoscopic vertical sleeve gastrectomy (LVSG). Assessing the likelihood of short-term morbidity is useful for both the bariatric surgeon and patient. Artificial neural networks (ANN) are computational algorithms that use pattern recognition to predict outcomes, providing a potentially more accurate and dynamic model relative to traditional multiple regression. Using a comprehensive national database, this study aims to use an ANN to optimize the prediction of the composite endpoint of 30-day readmission, reoperation, reintervention, or mortality, after LVSG.

Authors

  • Eric S Wise
    Department of Surgery, Vanderbilt University Medical Center, Nashville, Tenn. Electronic address: eric.s.wise@vanderbilt.edu.
  • Stuart K Amateau
    Division of Gastroenterology, Hepatology and Nutrition, Section of Interventional and Advanced Endoscopy, Department of Medicine, University of Minnesota, Minneapolis, USA.
  • Sayeed Ikramuddin
    Department of Surgery, Division of Gastrointestinal/Bariatric Surgery, University Of Minnesota, 420 Delaware St SE, MMC 195, Minneapolis, MN, 55455, USA.
  • Daniel B Leslie
    Department of Surgery, Division of Gastrointestinal/Bariatric Surgery, University Of Minnesota, 420 Delaware St SE, MMC 195, Minneapolis, MN, 55455, USA.

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